Evidence map›Paper›PMID 33595726›Full record

ArticleCancer immunology, immunotherapy : CII2021

Correction to: In-depth characterization of the tumor microenvironment in central nervous system lymphoma reveals implications for immune-checkpoint therapy.

Lukas Marcelis, Asier Antoranz, Anne-Marie Delsupehe, Pauline Biesemans, Julio Finalet Ferreiro, Koen Debackere, Peter Vandenberghe, Gregor Verhoef, Paul Clement, Steven De Vleeschouwer and 6 more

Abstract readPublished Erratum
In one paragraph

Article in Cancer immunology, immunotherapy : CII, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Lukas MarcelisTranslational Cell and Tissue Research Lab, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium.
Asier AntoranzTranslational Cell and Tissue Research Lab, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium.
Anne-Marie DelsupeheDepartment of Pathology, University Hospitals, UZ Leuven, Leuven, Belgium.
Pauline BiesemansTranslational Cell and Tissue Research Lab, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium.
Julio Finalet FerreiroCenter of Human Genetics, KU Leuven, Leuven, Belgium.
Koen DebackereLaboratory of Experimental Hematology, Department of Oncology, KU Leuven, Leuven, Belgium.
Peter VandenbergheDepartment of Hematology, University Hospitals, UZ Leuven, Leuven, Belgium.
Gregor VerhoefLaboratory of Experimental Hematology, Department of Oncology, KU Leuven, Leuven, Belgium.
Paul ClementDepartment of Oncology, Leuven Cancer Institute, KU Leuven, Leuven, Belgium.
Steven De VleeschouwerDepartment of Neurosurgery, University Hospitals, UZ Leuven, Leuven, Belgium.
Olivier GheysensDepartment of Nuclear Medicine, University Hospitals, UZ Leuven, Leuven, Belgium.
Giorgio CattorettiDepartment of Medicine and Surgery, Anatomic Pathology, Università Degli Studi Di Milano-Bicocca, Milano, Italy.
Francesca Maria BosisioTranslational Cell and Tissue Research Lab, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium.
Xavier SagaertTranslational Cell and Tissue Research Lab, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium.
Daan DierickxLaboratory of Experimental Hematology, Department of Oncology, KU Leuven, Leuven, Belgium.
Thomas TousseynTranslational Cell and Tissue Research Lab, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium. thomas.tousseyn@uzleuven.be.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID33595726
PMCPMC10991147

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.